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Statistics for Business and Economics, Global Edition 9th edition


Statistics for Business and Economics, Global Edition 9th edition

Paperback by Newbold, Paul; Carlson, William; Thorne, Betty

Statistics for Business and Economics, Global Edition

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£53.54

ISBN:
9781292315034
Publication Date:
5 Aug 2019
Edition/language:
9th edition / English
Publisher:
Pearson Education Limited
Pages:
800 pages
Format:
Paperback
For delivery:
Estimated despatch 29 - 30 Apr 2024
Statistics for Business and Economics, Global Edition

Description

For courses in Business Statistics. A classic text for accuracy and statistical precision Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple "canned" applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions. In this regard, it emphasises an understanding of the assumptions that are necessary for professional analysis. In particular, it has greatly expanded the number of applications that utilise data from applied policy and research settings. The 9th Edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics. This revision recognises the globalisation of statistical study and in particular the global market for this book.

Contents

1: Describing Data: Graphical 2: Describing Data: Numerical 3: Probability 4: Discrete Random Variables and Probability Distributions 5: Continuous Random Variables and Probability Distributions 6: Sampling and Sampling Distributions 7: Estimation: Single Population 8: Estimation: Additional Topics 9: Hypothesis Testing: Single Population 10: Hypothesis Testing: Additional Topics 11: Simple Regression 12: Multiple Regression 13: Additional Topics in Regression Analysis 14: Analysis of Categorical Data 15: Analysis of Variance 16: Time-Series Analysis and Forecasting 17: Additional Topics in Sampling

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